Detecting Malicious Facebook Application using Digital India Scheme

With 20 million installs a day third-party apps are a major reason for the popularity and addictiveness of Facebook. Unfortunately, hackers have realized the potential of using apps for spreading malware and spam. The problem is already significant, as we find that at least 13% of apps in our data set are malicious. So far, the research community has focused on detecting malicious posts and campaigns. paper, we ask the question: given a Facebook application, can we determine if it is malicious?

party apps are a major reason for the popularity and addictiveness of ely, hackers have realized the potential of using apps for spreading malware and spam. The problem is already significant, as we find set are malicious. So far, the research community has focused on posts and campaigns. In this paper, we ask the question: given a Facebook malicious? Our key contribution is in developing Proguard Facebook's Rigorous Application Evaluator arguably detecting malicious apps on To develop ProGuard, we use information gathered by observing the posting behavior of 111K Facebook apps seen across 2.2 million users on Facebook. First, we identify a set of features that help s apps from benign ones.For example, we find that malicious apps often share names with other apps, and they typically request fewer permissions than benign apps. Second, leveraging these distinguishing features, we show that apps with 100% accuracy, with no false positives and a low false negative rate (4.1%). Finally, we explore the ecosystem of malicious Facebook apps and identify mechanisms that these apps use to propagate. Interestingly, we find that many apps collude and support each other; in our dataset, we find 1,584 apps enabling the viral propagation of 3,723 other apps term, we see ProGuard as a step towards creating an independent watchdog for app assessment and ranking, so as to warn Facebook And improved online infrastructure and by increasing Internet connectivity so that we can avoid fraud and cheating.

I. Introduction
Online social networks (OSN) enable and encourage third party applications (apps) to enhance the user experience on these plat-forms. Such enhancements include interesting or entertaining ways of communicating among online friends, and diverse activities such as playing games or listening to songs. Online social networks (OSN) enable and encourage third party applications (apps) to enhance the user forms. Such enhancements include interesting or entertaining ways of communicating among online friends, and diverse uch as playing games or listening to songs. For example, Facebook provides developers an API that facilitates app integration into the Facebook userexperience. There are 500K apps available on Facebook and on average, 20M apps are installed every cently, hackers have started taking advantage -party apps platform and deploying malicious applications. Malicious apps can provide a lucrative business for hackers, given the popularity of OSNs, with Facebook leading the way with 900M active users. There are many ways that hackers can benefit from a malicious app: (a) the app can reach large numbers of users and their friends to spread spam, (b) the app can obtain users personal information such as email address, home town, and gender, and (c) the app can "re-produce" by making other malicious apps popular. Virtual currencies are becoming standard offering for online games sites, social media sites and other business. Virtual currency systems generate revenue provides low cost alternative to credit cards for micropayments, offer prepaid solutions and other users without credit cards In addition, complex virtual currency and virtual wallet programs involve more complex privacy and security issues such as joint ownership or sharing of customer information. Virtual currency security can be implemented using digital india scheme by sending one-time password to gmail.

II. Related Works
An Joshua s.Gans and Hanna Halaburda, proposed a method to increase the activity of users in facebook. Limiting functionality and allowing for both "buying" and "earning" are features that maximize activity on the platform. Users spend Facebook credits to enhance their paltform experience, which increases their utility from using the platform and leads to more activity(2013). Asaf Shabatai, Uri kanonov, Yuval Elovic introduced a configuration manager manages the configuration of application. The Alert Handler triggers an action as a result of dispatched alert. The prossecor manager register / unregister processor, and activities / deactivities the processor (2011). Mark Rose, Rajiv dutta, Lex N. Bayer developed the Virtual Currency Configuration apparatus, method and system(VCC) transform request for ondemand and flexible monetization and related services via VCC components into currency transfers, purchase receipt notifications, social networking communications and transaction analytics reports(2012).

III. Proposed System
In order to effectively detect malicious accounts in online promotion activities by overcoming the aforementioned challenges, we have designed a novel system, namely ProGuard. ProGuard employs a collection of behavioral features to profile an account that participates in an online promotion event. These features aim to characterize an account from three aspects including i) Its general usage profile ii) How an account collects virtual currency iii) How the virtual currency is spent.
iv) Sending One-Time Password to G-Mail id.
ProGuard further integrates these features using a statistical classifier so that they can be collectively used to discriminate between those accounts controlled by attackers and benign ones. To the best of our knowledge, this work represents the first effort to systematically detect malicious accounts used for online promotion activity participation. We have evaluated our system using data collected from Tencent QQ, a leading Chinese online social network that uses a widely-accepted virtual currency (i.e., Q coin), to support online financial activities for a giant body of 899 million active accounts.
Our experimental results have demonstrated that ProGuard can achieve a high detection rate of 100% with a very low false positive rate of 0.3% after using digital India scheme. SYSTEM MODEL:

B. IMAGE UPLOAD AND UPDATE:
In this module number of users uploads the image into the facebook, with the help of this metadata and its contents. In this module user can update user profile into facebook. And also we are updating personal details along with the picture.

C. VIEW REQUEST:
In this module user can view all the friend request and also make the unfollow and also we can see the user profile. We can accept the friend requests that are not in our friend list.

D. ONLINE SHOPPING:
In this module we can access the virtual currency from online social networks and spent the amount in online shopping. By generating the One-Time Password through G-mail address further purchasing process to be proceed.

E. CONCULSIONS:
This paper presents a novel system, ProGuard, to automatically detect malicious OSN accounts that participate in online promotion events. ProGuard leverages three categories of features including general behavior, virtual-currency collection, and virtual-currency usage. Experimental results based on labelled data collected from Tencent QQ, a global leading OSN company, have demonstrated the detection accuracy of ProGuard, which has achieved a high detection rate of 100% given an extremely low false positive rate of 0.3% using digital India scheme.